Описание

Satispay is building a financial platform that makes financial services easy and accessible for over 6.5 million users. The company started with payments and has expanded into benefits, investing, and cards.

Задачи

- Architect and deploy real-time decisioning logic combining ML scores with velocity features
- Translate complex fraud patterns into high-performing rules while balancing False Positive Rates and Gross Fraud Loss
- Hunt for emerging fraud schemes, including ATO and social engineering, and develop end-to-end mitigation strategies
- Partner with Product and Engineering to define analytical requirements for new features and third-party data signals
- Work with Data Science to operationalise machine learning models and combine model scores with heuristic rules
- Analyse security measures and design dynamic friction strategies for a seamless user experience
- Monitor rule efficacy and portfolio health
- Present data-driven recommendations to senior leadership to evolve risk appetite

Требования





- 3-7 Years of professional experience in risk, payments, or credit
- Strong SQL and Python skills for data analysis and strategy development
- Solid understanding of payment fraud dynamics
- Experience working with real-time decisioning environments
- Excellent communication skills
- Fluent English
- Nice to have: Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge

Условия

- Private insurance for the employee and family
- Psychological support with Serenis and mental health workshops
- Stock Option Plan
- Meal vouchers
- Relocation support if moving countries
- Professional development programs
- Internal mobility
- Language courses with Preply
- Unlimited PTO
- Adaptable working hours
- Three days per week in-office, with the option to request extra remote time
- Enhanced parental leave
- Additional leave for child sickness

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📌 data analyst in payment fraud (Barcelona)
🏢 Enfint
📍 Barcelona